Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations and no output schema, the description carries the full behavioral burden. It usefully discloses sort order ('best first') and the prediction horizon (1-5 gameweeks), but says nothing about whether this is a pure read, what the model basis is, or how results are bounded by the limit parameter.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

A single tight sentence with the core value proposition front-loaded ('Expected points for the next 1-5 gameweeks'). Dense and slightly cryptic in the second clause, but no wasted sentences.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a six-parameter prediction tool with no annotations, no output schema, and zero schema descriptions, the description does minimal but reasonable work. It omits the semantics of most filter parameters and any indication of return shape, so an agent would still need to guess.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate for all six parameters. It covers player selection, the gameweek horizon, and implies filtering/ranking, but never names the team, position, max_price, or limit filters that the schema exposes, leaving half the surface unexplained.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific output (expected points), the time horizon (next 1-5 gameweeks), and ordering ('best first'). It does not distinguish itself from siblings like pick_captain, optimal_squad, or compare_players, which all plausibly consume the same prediction, so an agent cannot fully disambiguate without opening schemas.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

It implies two usage modes ('one player' vs 'filter to rank candidates') but never states when to prefer this over pick_captain, compare_players, or model_report. Usage is inferable but no explicit when/when-not or alternative routing is given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.